Ranking · Unmet Need

Research Gap Index

Burden percentile minus research-activity percentile (publications, last 5 years) within the same scope. Positive values flag cancers with high mortality burden but comparatively little literature. Caveat (Phase 1): literature counts are query-based per entity (query stored on each row); they are not aggregated over descendants.

Computedci-research-gap-v1unit: percentile pointshigher = worseAll metrics

Rank	Δ	Cancer	Research Gap Index (percentile points)	Percentile	Confidence	Sources	Why #n?
1	=	Malignant Central Nervous System Neoplasm	+60	100	Medium confidence	cdc-uscs pubmed cdc-wonder seer iarc-globocan	inputs deaths 8491 formula percentile(mortality_count) − percentile(publications_5y) activity 298 burdenPercentile 60 activityPercentile 0 ranking row 2600207
2	=	Malignant Esophageal Neoplasm	+24	96	Medium confidence	cdc-uscs pubmed cdc-wonder seer iarc-globocan	inputs deaths 11731 formula percentile(mortality_count) − percentile(publications_5y) activity 10921 burdenPercentile 76 activityPercentile 52 ranking row 2600208
2	=	Malignant Kidney Neoplasm	+24	96	Medium confidence	cdc-uscs pubmed cdc-wonder seer iarc-globocan	inputs deaths 8967 formula percentile(mortality_count) − percentile(publications_5y) activity 3700 burdenPercentile 64 activityPercentile 40 ranking row 2600209
4	=	Malignant Salivary Gland Neoplasm	+20	88	Medium confidence	cdc-uscs pubmed cdc-wonder seer iarc-globocan	inputs deaths 599 formula percentile(mortality_count) − percentile(publications_5y) activity 474 burdenPercentile 24 activityPercentile 4 ranking row 2600210
5	=	Malignant Colon Neoplasm	+16	84	Medium confidence	cdc-uscs pubmed cdc-wonder seer iarc-globocan	inputs deaths 21494 formula percentile(mortality_count) − percentile(publications_5y) activity 18406 burdenPercentile 92 activityPercentile 76 ranking row 2600212
5	=	Malignant Liver Neoplasm	+16	84	Medium confidence	cdc-uscs pubmed cdc-wonder seer iarc-globocan	inputs deaths 16300 formula percentile(mortality_count) − percentile(publications_5y) activity 17939 burdenPercentile 84 activityPercentile 68 ranking row 2600211
7	=	Malignant Laryngeal Neoplasm	+12	76	Medium confidence	cdc-uscs pubmed cdc-wonder seer iarc-globocan	inputs deaths 2994 formula percentile(mortality_count) − percentile(publications_5y) activity 2031 burdenPercentile 40 activityPercentile 28 ranking row 2600213
8	=	Malignant Nasopharyngeal Neoplasm	+8	72	Medium confidence	cdc-uscs pubmed cdc-wonder seer iarc-globocan	inputs deaths 467 formula percentile(mortality_count) − percentile(publications_5y) activity 952 burdenPercentile 20 activityPercentile 12 ranking row 2600215
8	=	Malignant Pancreatic Neoplasm	+8	72	Medium confidence	cdc-uscs pubmed cdc-wonder seer iarc-globocan	inputs deaths 19854 formula percentile(mortality_count) − percentile(publications_5y) activity 25767 burdenPercentile 88 activityPercentile 80 ranking row 2600214
10	=	Cutaneous Melanoma	+4	64	Medium confidence	cdc-uscs pubmed cdc-wonder seer iarc-globocan	inputs deaths 6239 formula percentile(mortality_count) − percentile(publications_5y) activity 4407 burdenPercentile 48 activityPercentile 44 ranking row 2600217
10	=	Malignant Lung Neoplasm	+4	64	Medium confidence	cdc-uscs pubmed cdc-wonder seer iarc-globocan	inputs deaths 85658 formula percentile(mortality_count) − percentile(publications_5y) activity 93034 burdenPercentile 100 activityPercentile 96 ranking row 2600218
10	=	Malignant Mesothelioma	+4	64	Medium confidence	cdc-uscs pubmed cdc-wonder seer iarc-globocan	inputs deaths 1911 formula percentile(mortality_count) − percentile(publications_5y) activity 2145 burdenPercentile 36 activityPercentile 32 ranking row 2600216
10	=	Malignant Prostate Neoplasm	+4	64	Medium confidence	cdc-uscs pubmed cdc-wonder seer iarc-globocan	inputs deaths 27681 formula percentile(mortality_count) − percentile(publications_5y) activity 52116 burdenPercentile 96 activityPercentile 92 ranking row 2600221
10	=	Multiple Myeloma	+4	64	Medium confidence	cdc-uscs pubmed cdc-wonder seer iarc-globocan	inputs deaths 6407 formula percentile(mortality_count) − percentile(publications_5y) activity 10244 burdenPercentile 52 activityPercentile 48 ranking row 2600219
10	=	Non-Hodgkin Lymphoma	+4	64	Medium confidence	cdc-uscs pubmed cdc-wonder seer iarc-globocan	inputs deaths 11168 formula percentile(mortality_count) − percentile(publications_5y) activity 17190 burdenPercentile 68 activityPercentile 64 ranking row 2600220
16	=	Malignant Bladder Neoplasm	0	40	Medium confidence	cdc-uscs pubmed cdc-wonder seer iarc-globocan	inputs deaths 11294 formula percentile(mortality_count) − percentile(publications_5y) activity 18250 burdenPercentile 72 activityPercentile 72 ranking row 2600222
17	=	Leukemia	-4	36	Medium confidence	cdc-uscs pubmed cdc-wonder seer iarc-globocan	inputs deaths 13625 formula percentile(mortality_count) − percentile(publications_5y) activity 31893 burdenPercentile 80 activityPercentile 84 ranking row 2600223
18	=	Hodgkin Lymphoma	-8	32	Medium confidence	cdc-uscs pubmed cdc-wonder seer iarc-globocan	inputs deaths 633 formula percentile(mortality_count) − percentile(publications_5y) activity 2178 burdenPercentile 28 activityPercentile 36 ranking row 2600224
18	=	Malignant Hypopharyngeal Neoplasm	-8	32	Medium confidence	cdc-uscs pubmed cdc-wonder seer iarc-globocan	inputs deaths 260 formula percentile(mortality_count) − percentile(publications_5y) activity 581 burdenPercentile 0 activityPercentile 8 ranking row 2600225
20	=	Malignant Anal Neoplasm	-12	24	Medium confidence	cdc-uscs pubmed cdc-wonder seer iarc-globocan	inputs deaths 371 formula percentile(mortality_count) − percentile(publications_5y) activity 1291 burdenPercentile 8 activityPercentile 20 ranking row 2600228
20	=	Malignant Penile Neoplasm	-12	24	Medium confidence	cdc-uscs pubmed cdc-wonder seer iarc-globocan	inputs deaths 270 formula percentile(mortality_count) − percentile(publications_5y) activity 1025 burdenPercentile 4 activityPercentile 16 ranking row 2600226
20	=	Malignant Rectal Neoplasm	-12	24	Medium confidence	cdc-uscs pubmed cdc-wonder seer iarc-globocan	inputs deaths 5736 formula percentile(mortality_count) − percentile(publications_5y) activity 12506 burdenPercentile 44 activityPercentile 56 ranking row 2600229
20	=	Malignant Testicular Neoplasm	-12	24	Medium confidence	cdc-uscs pubmed cdc-wonder seer iarc-globocan	inputs deaths 383 formula percentile(mortality_count) − percentile(publications_5y) activity 1806 burdenPercentile 12 activityPercentile 24 ranking row 2600227
24	=	Malignant Thyroid Gland Neoplasm	-28	8	Medium confidence	cdc-uscs pubmed cdc-wonder seer iarc-globocan	inputs deaths 838 formula percentile(mortality_count) − percentile(publications_5y) activity 13792 burdenPercentile 32 activityPercentile 60 ranking row 2600230
25	=	Malignant Gastric Neoplasm	-32	4	Medium confidence	cdc-uscs pubmed cdc-wonder seer iarc-globocan	inputs deaths 6793 formula percentile(mortality_count) − percentile(publications_5y) activity 34783 burdenPercentile 56 activityPercentile 88 ranking row 2600231
26	=	Malignant Breast Neoplasm	-84	0	Medium confidence	cdc-uscs pubmed cdc-wonder seer iarc-globocan	inputs deaths 464 formula percentile(mortality_count) − percentile(publications_5y) activity 133010 burdenPercentile 16 activityPercentile 100 ranking row 2600232

Data updated 16 hours agoSource updated unknown26 eligible entities · inputs hash ec8680cd42de02d63cec96d4

Methodology

How this table was built

Formula: percentile(mortality_count) − percentile(publications_5y)
Version: ci-research-gap-v1
Scope: USA · Male · all ages · 2013 · top-level cancers
Scope key: geo=USA|sex=male|age=all|year=2013|level=top
Eligible entities: 26
Generated: Sep 29, 2026, 06:30 AM UTC
Inputs hash: ec8680cd42de02d63cec96d4
Sources: U.S. Cancer Statistics (USCS) — NPCR/SEER incidence and NVSS mortality pubmed cdc-wonder seer iarc-globocan
Aggregation: none

Eligibility

requires: mortality_count
publications_5y
entityLevel: top

Full methodology · ties share a rank (1, 2, 2, 4) · previous rank refers to the last snapshot of the same scope.

Download CSV (with attribution)

Burden and lethality metrics depend on registry definitions (site groups, standard population, estimate type). Compare only within one table.