Disease Briefing

Small cell lung cancer: research and therapeutic landscape

A live synthesis of what is being targeted, what is being trialled, which datasets exist, and where the actionable gaps sit — assembled from public APIs, with every figure traceable to its source.

Generated 2026-09-30Sources Open Targets · ClinicalTrials.gov · openFDA · GEO · PubMed · Europe PMC · iCite · RePORTERRanked 214 studies · 6,353 GEO samples
Page Reading as
Reorders emphasis only — nothing is hidden or loaded on demand.

Answer block

12 genes recurrently implicated in small cell lung cancer — DLL3, TP53, RB1, MYC, MYCL, ASCL1, NEUROD1, POU2F3, YAP1, SLFN11, BCL2, CD274 — triaged for what can actually be aimed at them, alongside the trials, public datasets, literature and funding around the disease. Every figure below carries its source and retrieval date in the section it comes from.

4
drugs carry an FDA label naming small cell lung cancer: Atezolizumab, Durvalumab, Lurbinectedin, Tarlatamab. This counts labels, not treatment — the disease is also treated with agents approved under broader indications
1
of the 12 genes above carry a drug that is approved in small cell lung cancer itself — DLL3. Across all of them 31 drug entries reach these genes, 28 distinct once salt forms are merged
6
registered DLL3 cell-therapy trials in small cell lung cancer, 5 active. Counted from ClinicalTrials.gov across 8 synonyms, deduplicated by NCT id, interventional studies only — the query is published in the JSON beside this page so the number can be re-derived
5
targets carry an Open Targets tractability signal and no trial in small cell lung cancer that the searches found (no trial naming a drug Open Targets lists for the gene, none naming it as a cell-therapy target): RB1, MYC, POU2F3, YAP1, SLFN11. DLL3 has cell-therapy trials, so it is undrugged rather than untouched
549
human GEO series match the disease; 214 survive on-topic filtering, and only 2 are patient cohorts of 100+ samples
119
Europe PMC full-text papers name GSE60052 — the highest accession-mention count in the set. A mention is not proof of reanalysis, so read it as reach rather than reuse
$38.6M
NIH obligations in FY2025, up 1743% since 2013 — while distinct core projects went 7 to 60. Both more projects (+757%) and larger awards, the latter carrying more of the growth; core projects are not the same unit as laboratories

Target landscape

Open Targets · retrieved 2026-09-30 · weekly

12 genes recurrently implicated in small cell lung cancer, triaged for whether anything can actually be aimed at them. The zeros are the informative rows.

Of 12 recurrently implicated genes, 4 carry any drug at all. That is a statement about these 12 gene targets, not about the disease: Small cell lung cancer does have labelled therapy — 4 drugs, listed in the next section.

Two different questions

The table below asks what can be aimed at 12 recurrently implicated genes. That is narrower than what is approved for the disease, and narrower again than what small cell lung cancer is actually treated with, which includes agents approved under broader indications. All three are on this page and they are kept apart deliberately.

GeneDrugsApproval, and whether it reached this diseaseOpen Targets tractabilitycomputed from protein features and literature — a signal that a modality is worth trying, not evidence that it worksCell therapy here
DLL3 across cancers → 2 1 approvedTarlatamabApproved in small cell lung cancer: Tarlatamab.25 active of 37 small cell lung cancer trials antibody, other clinical modality, protein degrader 5 active of 6 trials
TP53 across cancers → 8 Phase 3Alrizomadlin, Cenersen, Contusugene Ladenovec, Eprenetapopt, Idasanutlin, Navtemadlin, Siremadlin, Teprasiran4 trials, none active other clinical modality, protein degrader, small molecule —
RB1 across cancers → 0 No drug— protein degrader, small molecule —
MYC across cancers → 0 No drug— protein degrader, small molecule —
MYCL across cancers → 0 No drug— — —
ASCL1 0 No drug— — —
NEUROD1 0 No drug— — —
POU2F3 0 No drug— antibody, protein degrader —
YAP1 0 No drug— antibody, protein degrader, small molecule —
SLFN11 0 No drug— protein degrader, small molecule —
BCL2 across cancers → 5 2 approvedNavitoclax, Oblimersen1 active of 14 small cell lung cancer trials antibody, other clinical modality, protein degrader, small molecule —
CD274 across cancers → 13 3 approvedAvelumab, Cosibelimab, SugemalimabApproved in Merkel cell skin cancer, urothelial carcinoma, neuroendocrine neoplasm and 2 other indications. No small cell lung cancer indication appears on these drugs’ labels.118 active of 201 small cell lung cancer trials antibody, other clinical modality, protein degrader, small molecule —

Dataset evidence counts studies in the 214-study ranked set whose title or abstract names the gene; the bar is scaled to ASCL1. Sources: Open Targets Platform and NCBI GEO, retrieved 2026-09-30. Clinical stage is the highest reached for any indication — see the per-drug indications noted in each row. Target-prioritisation reference only; not clinical or prescribing guidance.

What is actually approved here

openFDA drug labels · weekly

4 drugs carry an FDA label naming small cell lung cancer: Atezolizumab, Durvalumab, Lurbinectedin, Tarlatamab. Separately, 5 of the drugs returned for the genes in the table above are approved only for other diseases and reach small cell lung cancer through trials, not through their labels.

4Labelled for small cell lung cancerFDA INDICATIONS AND USAGE names the disease
5Approved, but for another diseasereturned for the genes in the table above
2Backbone agents listing itbroad cytotoxics whose labels name many tumours
5Active cell-therapy trials naming DLL3of 6 registered

Every label that names small cell lung cancer

DrugRoleWhat the label says
AtezolizumabTECENTRIQ, Tecentriq HybrezaLabelled hereSmall Cell Lung Cancer (SCLC) in combination with carboplatin and etoposide, for the first-line treatment of adult patients with extensive-stage small cell lung cancer (ES-SCLC).
DurvalumabIMFINZILabelled hereSmall Cell Lung Cancer • IMFINZI, as a single agent, is indicated for the treatment of adult patients with limited-stage small cell lung cancer (LS-SCLC) whose disease has not progressed following concurrent platinum-based chemotherapy and radiation therapy (cCRT). • IMFINZI, in combination with etoposide and either carboplatin or cisplatin, is indicated for the first-line treatment of adult pa...
LurbinectedinZEPZELCALabelled hereMetastatic Small Cell Lung Cancer ZEPZELCA is indicated for the treatment of adult patients with metastatic small cell lung cancer (SCLC) with disease progression on or after platinum-based chemotherapy.
TarlatamabIMDELLTRA (AMG757)Labelled hereIMDELLTRA is indicated for the treatment of adult patients with extensive stage small cell lung cancer (ES-SCLC) with disease progression on or after platinum-based chemotherapy.
EtoposideAvopef, ETOPOPHOS, ETOPOSIDEBackboneSmall cell lung cancer
TopotecanHYCAMTIN, Topotecan, Topotecan HydrochlorideBackboneTopotecan is a topoisomerase inhibitor indicated for: small cell lung cancer sensitive disease after failure of first-line chemotherapy.
TrilaciclibCOSELASupportiveCOSELA is a kinase inhibitor indicated to decrease the incidence of chemotherapy-induced myelosuppression in adult patients when administered prior to a platinum/etoposide-containing regimen or topotecan-containing regimen for extensive-stage small cell lung cancer.

28 labels carry a positive indication naming the disease under indications_and_usage:"re:(?<!non-)(?<!non )(?<!non–)(?<!non‑)(?<!non−)(?<!non‐)(?<!n- )small[- ]cell lung (cancer|carcinoma)" OR indications_and_usage:"re:(?<![A-Z])(?:ES-|LS-)?SCLC\b"; they collapse to 7 distinct molecules once salt forms, biosimilars and co-formulated hyaluronidase are merged. Supportive agents (Trilaciclib) are given in the disease but do not act on it. Source: openFDA drug label API (api.fda.gov/drug/label.json), retrieved 2026-09-18. Labels change; this reflects the current label text, not the approval history. Not prescribing guidance.

Cell therapy against DLL3

ClinicalTrials.gov · retrieved 2026-09-18 · weekly

DLL3 is the busiest cell-therapy target among those this briefing searched in small cell lung cancer: 6 registered trials naming it, 5 still active.

TrialPhaseStatusTitleLast update
NCT07246304EARLY/1RecruitingTC-D101 Cell Therapy for Patients With DLL3-Positive SCLC2025-11-24
NCT063487971RecruitingPhase I Clinical Study of α-PD-L1/DLL3 CAR-T in Patients With R/R SCLC2026-07-21
NCT074889231RecruitingA First-in-human (FIH), Phase 1 Study of ML261, an Autologous Potency Enhanced Anti-DLL3 CAR T Cell Therapy, in Participants With R/R SCLC or Select NECs (SPECTRAL-1)2026-08-25
NCT075644011/2RecruitingA Study to Evaluate DJI136, a DLL3-targeted CAR-T Therapy2026-09-11
NCT056809221ActiveDLL3-Directed Chimeric Antigen Receptor T-cells in Subjects With Extensive Stage Small Cell Lung Cancer2026-03-24
NCT055075931UnknownStudy of DLL3-CAR-NK Cells in the Treatment of Extensive Stage Small Cell Lung Cancer2022-08-19

6 of 6 shown, most recently active first. Other targets searched: PD-1 (1), B7-H3 (1). Source: ClinicalTrials.gov API v2, retrieved 2026-09-18. A trial counts here when its registered conditions name small cell lung cancer or a tumour-agnostic basket, its title names an administered cell product, and the title names this target: a HER2 CAR-T trial that adds a PD-1 antibody is a HER2 trial. A trial stating only a product code is missed.

Research momentum

PubMed MeSH · monthly

Every term below is a share of the small cell lung cancer literature, not a count, because the field itself grew: 2015–2018 (n=1,094) against 2021–2025 (n=2,111). A topic whose papers doubled while the field doubled has not risen.

Rising, with a real baseline

MeSH term2015–182021–25ChangeShare now
Progression-Free Survival1.19%5.5%4.62×116 papers
Antibodies, Monoclonal, Humanized1.83%7.91%4.33×167 papers
Immunotherapy3.2%12.84%4.01×271 papers
Platinum0.91%3.17%3.47×67 papers
Indoles1.1%2.98%2.72×63 papers
Neuroendocrine Tumors0.55%1.42%2.59×30 papers
Intracellular Signaling Peptides and Proteins1.01%2.37%2.36×50 papers
China1.19%2.65%2.23×56 papers
Proteomics0.46%0.99%2.18×21 papers
Carcinoma, Neuroendocrine0.82%1.71%2.07×36 papers

Cooling

MeSH term2015–182021–25ChangeShare now
Survival Analysis9.14%1.33%0.15×28 papers
Time Factors3.2%0.81%0.25×17 papers
Anthracyclines2.47%0.66%0.27×14 papers
Diagnosis, Differential2.01%0.57%0.28×12 papers
Follow-Up Studies5.85%1.75%0.3×37 papers
Tumor Cells, Cultured1.92%0.57%0.3×12 papers

Biggest topics now

MeSH term2015–182021–25ChangeShare now
Lung Neoplasms89.58%99.29%1.11×2096 papers
Antineoplastic Combined Chemotherapy Protocols16.64%20.13%1.21×425 papers
Prognosis18.37%19.14%1.04×404 papers
Neoplasm Staging18.1%17.72%0.98×374 papers
Immunotherapy3.2%12.84%4.01×271 papers
Treatment Outcome18.74%11.13%0.59×235 papers
Biomarkers, Tumor10.97%10.56%0.96×223 papers
Immune Checkpoint Inhibitors0.0%10.37%new219 papers
Etoposide9.23%10.09%1.09×213 papers
Antibodies, Monoclonal, Humanized1.83%7.91%4.33×167 papers

Publication mix

Type2015–182021–25
Clinical Trial0.0%0.1%
Randomized Controlled Trial4.8%3.6%
Review9.8%10.7%
Meta-Analysis1.9%2.2%
Case Reports0.0%2.3%

Query: Small Cell Lung Carcinoma[MeSH Major Topic] NOT ("Carcinoma, Non-Small-Cell Lung"[MeSH] OR "Adenocarcinoma of Lung"[MeSH] OR "Carcinoma, Squamous Cell"[MeSH] OR "Carcinoma, Large Cell"[MeSH] OR "Carcinoid Tumor"[MeSH]). Terms need at least 12 papers in the recent window and, in the rising table, at least 5 in the earlier one — a term going from 1 paper to 12 is a large fold change and no evidence of anything. Ubiquitous descriptors (Humans, Animals, age bands) and the disease’s own term are dropped. Source: PubMed MeSH, retrieved 2026-09-16.

Disease burden

What the public sources count, and how closely each category matches this disease. The same figures for every disease on the site are on one table.

MeasureValueMatchWhat it counts
New cases each year229,410 cases/yearproxycounts lung and bronchus cancer, which is broader than this disease; 2026
Deaths each year124,990 deaths/yearproxycounts lung and bronchus cancer, which is broader than this disease; 2026
Incidence rate47.2 cases per 100,000 per yearproxycounts lung and bronchus cancer, which is broader than this disease; 2019-2023
Death rate30.2 deaths per 100,000 per yearproxycounts lung and bronchus cancer, which is broader than this disease; 2020-2024
People living with it661,853 people living with the diseaseproxycounts lung and bronchus cancer, which is broader than this disease; 2023
Five-year relative survival9.0%direct2012-2018
Median age at diagnosis71.0 yearsproxycounts lung and bronchus cancer, which is broader than this disease; 2019-2023
New cases each year, estimated29,823 cases/yearderived proxy229,410 x 0.13, from lung and bronchus cancer; 2026
Deaths each year—not publishedThe share of lung cancer deaths that are small cell is not published on either page.

Years of life lost (proxy)

6.7 years per case, 200,828 a year, from survival and age at diagnosis rather than from a death count. derived proxy Not the WHO/GBD measure, which uses age at death and a life table; comparable across these briefings, not with published YLL figures. What this costs to fund is in Funding.

3 assumptions behind this estimate
  • Five-year relative survival stands in for cure; a death after five years is not counted.
  • The median age at diagnosis stands in for the whole age distribution.
  • Life expectancy at birth (78.4 years) is the reference, rather than remaining expectancy at the age of death from a life table.
  • Each assumption moves the result by more than the difference between the two diseases currently on this site, so this figure separates a disease from one ten times its size, not from a close neighbour.

Funding

NIH RePORTER · quarterly

NIH obligations naming small cell lung cancer, after removing the 7,252 records across all years that matched the search but are about something else. That filter is not cosmetic: without it this section reports another field’s funding as this disease’s.

$38.6MNIH obligations, FY2025from $2.1M in FY2013 · +1743%
60distinct projects funded7 in FY2013
$38.6Mpeak year was FY2025obligations, all institutes
100%of FY2025 awards from NCI66 of 66

NIH obligations by fiscal year

$10M$19M$29M$39M13151719212325
YearObligationsAwardsDistinct projectsDropped as off-topic
FY2013$2.1M77453
FY2014$1.6M77446
FY2015$1.6M66458
FY2016$5.2M1413465
FY2017$10.7M2625501
FY2018$17.9M3936579
FY2019$23.6M4946587
FY2020$27.0M5149582
FY2021$32.0M6457602
FY2022$27.7M5854649
FY2023$27.6M5251651
FY2024$34.0M6053661
FY2025$38.6M6660618

Where FY2025 money went

InstitutionObligationsAwards
Division Of Basic Sciences - Nci$7.8M7
New York University School Of Medicine$4.2M7
Sloan-Kettering Inst Can Research$4.2M5
Dana-Farber Cancer Inst$3.9M4
Fred Hutchinson Cancer Center$3.3M6
University Of Tx Md Anderson Can Ctr$2.7M5
Stanford University$1.5M3
Duke University$1.4M5
Ut Southwestern Medical Center$1.4M3
Icahn School Of Medicine At Mount Sinai$1.2M2

Text search small cell lung cancer OR small cell lung carcinoma over project title, terms and abstract, per fiscal year. Awards are individual funding actions; distinct projects collapse them by core project number, so a multi-year grant counts once. The most recent year may be incomplete. Source: NIH RePORTER, retrieved 2026-09-19.

What that buys

Against 200,828 years of life lost a year, FY2025 obligations are $192 per life-year — $1,295 per case. The estimate and its assumptions are in Disease burden.

Who funds it, FY2025

The total says how much. These say who from, through what kind of award, and to whom — which a dollar figure cannot.

NIH institutes

NCI66 · 100%

Projects by administering institute. The rows above are the top 1 and account for 66 of 66.

Award mechanisms

R0123 · 35%
P018 · 12%
ZIA5 · 8%
U015 · 8%
R214 · 6%
R003 · 5%

R01 is an investigator-initiated grant; ZIA is NIH intramural, meaning the work happens inside NIH rather than being funded outside it. The rows above are the top 15 and account for 63 of 66.

Where it lands

Division Of Basic Sciences - Nci$7.8M · 20.3%
New York University School Of Medicine$4.2M · 10.8%
Sloan-Kettering Inst Can Research$4.2M · 10.8%
Dana-Farber Cancer Inst$3.9M · 10.0%
Fred Hutchinson Cancer Center$3.3M · 8.4%
University Of Tx Md Anderson Can Ctr$2.7M · 6.9%

Share of $38.6M in FY2025. The top three hold 42%.

Public datasets, ranked

NCBI GEO + Europe PMC + iCite · weekly

549 human GEO series match small cell lung cancer. Keyword relevance cannot tell a 375-sample patient cohort from a six-well cell-line experiment, so this ranking scores four things GEO does not expose: how often the accession is named in full-text papers, field-normalised citation impact, clinical annotation, and cohort type.

Composition of the 214-study ranked set

unspecified 67cell line 62patient 44mixed 31xenograft 10
67 unspecified62 cell line44 patient31 mixed10 xenograft113 carry clinical annotation59 carry survival2 patient cohorts ≥100 GEO samples6,353 GEO samples totalin 11 single-cell series the GEO sample count is the submitter’s unit (cells, libraries or pools), not patients

Established

high reuse, older
AccessionStudySamplesMentionsEurope PMCRCREvidence
GSE60052The RNAseq of 79 small cell lung cancer (sclc) and 7 normal control2016 · sequencing861195.0
mixedAPT 0.75survival182 cites
GSE15008MicroRNA Expression Profile Reveals Important Clinical Tools for the Pathology of Lung Cancer2010 · array375214.2
patient cohortAPT 0.75survival159 cites
GSE149507Microarray expression data of 18 pairs of small cell lung cancer (sclc) and tumor and adjacent lung tissues2020 · array36583.9
patient cohortAPT 0.7581 cites
GSE99316Gene repression and ChIP-seq in Human Small Cell Lung Cancer2017 · chromatin75733.6
APT 0.75148 cites
GSE149180MYC drives temporal evolution of small cell lung cancer subtypes by reprogramming neuroendocrine fate [SuperSeries]2020 · sequencing381015.8
APT 0.95molecularMYC433 cites
GSE115124POU2F3 is a master regulator of a tuft cell-like variant of small cell lung cancer2018 · chromatin88810.7
APT 0.95molecularPOU2F3355 cites
GSE150766MYC drives temporal evolution of small cell lung cancer subtypes by reprogramming neuroendocrine fate [Human SCLC biopsy]2020 · single-cell152.9
mixedAPT 0.75survivalstagemolecularASCL1MYCNEUROD168 cites
GSE151904RNAseq analysis of small cell lung cancer (SCLC) cell lines2020 · sequencing62242.7
cell lineAPT 0.95survival843 cites

Recent

2022 onward, by score
AccessionStudySamplesMentionsEurope PMCRCREvidence
GSE249362Non-Canonical BAF and mSWI/SNF Regulates POU2F3 and are Selective Targetable Dependencies for POU2F3-Positive Small Cell Lung Cancer2024 · chromatin12515.8
cell lineAPT 0.75survivalstagemolecularASCL1NEUROD1POU2F350 cites
GSE241673Tumor- and circulating-free DNA methylation identifies clinically relevant small cell lung cancer subtypes2024 · methylation67114.5
patient cohortAPT 0.75survival116 cites
GSE197426POU2AF2/C11orf53 functions as a co-activator of POU2F3 by maintaining chromatin accessibility and enhancer activity2022 · chromatin4422.5
mixedAPT 0.75survivalmolecularPOU2F342 cites
GSE233820PARP inhibitor radiosensitization enhances anti-PD-L1 immunotherapy through depression of chemokine translation in small cell lung cancer2025 · sequencing1216.7
mixedAPT 0.75molecularOLAPARIBPARPPD-127 cites
GSE307029Multi-omics reveals heterogeneity in advanced small cell lung cancers2026 · methylation801—
patient cohortAPT 0.25survivalstagemolecularASCL1DLL3NEUROD11 cites
GSE237071Exportin 1 inhibition prevents neuroendocrine transformation through SOX2 downregulation in lung and prostate cancers [ATAC-seq]2023 · chromatin2413.4
mixedAPT 0.75survivalmolecularRB1TP5344 cites

Sources: NCBI GEO + Europe PMC + iCite, retrieved 2026-09-19. SubSeries are collapsed to one row per study by linked PMID. Of 549 series retrieved, 83 were dropped by the profile’s exclusion rules and 163 named the disease only in passing. The ranked set is a relevance-ranked sample, not a census, so the composition figures describe the sample only.

Where the gaps are

Derived from the sections above · recomputed on every refresh

Each card below is a disagreement between two of the tables on this page — a drug that exists but was never tried here, a target that looks tested and was not, a gene with no drug whose product has a busy clinical programme. They are computed from the same facts as the tables, so they cannot contradict them.

RB1

Open Targets lists no drug against it and no trial in small cell lung cancer names it. A bounded negative: the sources and search terms are in the JSON beside this page.

MYC

Open Targets lists no drug against it and no trial in small cell lung cancer names it. A bounded negative: the sources and search terms are in the JSON beside this page.

MYCL

Open Targets lists no drug against it and no trial in small cell lung cancer names it. A bounded negative: the sources and search terms are in the JSON beside this page.

ASCL1

Open Targets lists no drug against it and no trial in small cell lung cancer names it. A bounded negative: the sources and search terms are in the JSON beside this page.

NEUROD1

Open Targets lists no drug against it and no trial in small cell lung cancer names it. A bounded negative: the sources and search terms are in the JSON beside this page.

POU2F3

Open Targets lists no drug against it and no trial in small cell lung cancer names it. A bounded negative: the sources and search terms are in the JSON beside this page.

YAP1

Open Targets lists no drug against it and no trial in small cell lung cancer names it. A bounded negative: the sources and search terms are in the JSON beside this page.

SLFN11

Open Targets lists no drug against it and no trial in small cell lung cancer names it. A bounded negative: the sources and search terms are in the JSON beside this page.

How a machine reads this page

Static

This page is written to be quoted correctly by a model as much as read by a person. The same facts are available as JSON at the sibling URL below, which is what to cite. The cross-disease layer — burden, genes, drugs and antigens across every briefing — is described at /disease/api.json.

Fully server-rendered

Every figure is in the HTML at first byte. No JavaScript runs, no figure is fetched after load, and nothing on this page requires a renderer to see.

Every number carries a source

Each section names the API it came from and the date it was retrieved: Open Targets (2026-09-30), ClinicalTrials.gov (2026-09-18), openFDA (2026-09-18), NCBI GEO (2026-09-19), PubMed (2026-09-16), NIH RePORTER (2026-09-19).

Negatives stated explicitly

Where the searches find nothing for small cell lung cancer — no drug, no trial, no approval — the page says so in those words rather than omitting the row, and names the source searched. An absent row is unquotable; a bounded negative is the finding.

Denominators, not just percentages

Every share is printed with the count and the total it came from, so a figure can be checked rather than taken.

The filters are published

5 exclusion patterns are applied to free text before anything is ranked, because NCI-H69 (a generic neuroendocrine model) is used as a model system in neuroendocrine differentiation and drug-transport studies. What was removed and why is stated in each section rather than silently applied.

{
  "disease": "Small cell lung cancer",
  "mesh": "Small Cell Lung Carcinoma",
  "facts": "https://usebiotransfer.org/disease/small-cell-lung-cancer.json",
  "methods": "https://usebiotransfer.org/methods/",
  "all_diseases": "https://usebiotransfer.org/disease/api.json",
  "note": "Every figure on the page is in that JSON with its source and retrieval date. Quote from it rather than from the HTML."
}